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Using MODIS Weekly Evapotranspiration to Monitor Drought 13

Using MODIS Weekly Evapotranspiration to Monitor Drought

引用

Conference on Remote Sensing and Modeling of Ecosystems for Sustainability XIII

作者： Mu, Qiaozhen Zhao, Maosheng Running, Steven W. Kimball, John S. McDowell, Nathan G. Univ Montana Coll Forestry & Conservat Numer Terradynam Simulat Grp NTSG Missoula MT 59812 USA SSAI 10210 Greenbelt Rd Lanham MD 20706 USA Univ Maryland Dept Geog Sci College Pk MD 20742 USA Los Alamos Natl Lab Atmospher & Environm Dynam Grp Earth & Environm Sci MS J495 Los Alamos NM 87545 USA

ISBN: (数字)9781510603424

ISBN: (纸本)9781510603417;9781510603424

Regional drought and flooding from extreme climatic events are increasing in frequency and severity, with significant adverse eco-social impacts. Detecting and monitoring drought at regional to global scales remains challenging, despite the availability of various drought indices and widespread availability of potentially synergistic global satellite observational records. Mu et al. (2013) developed a method to generate a near-real-time remotely sensed Drought Severity Index (DSI) to monitor and detect drought globally at 1-km spatial resolution and regular 8-day, monthly and annual frequencies. The DSI integrates and exploits information from current operational satellite based terrestrial evapotranspiration (ET) and Vegetation greenness Index (VI) products, which are sensitive to vegetation water stress. Specifically, our approach determines the annual DSI departure from its normal (20002011) using the remotely sensed ratio of ET to potential ET (PET) and NDVI. The DSI results were derived globally and captured documented major regional droughts over the last decade, including severe events in Europe (2003), the Amazon (2005 and 2010), and Russia (2010). Based on the global MOD16 ET algorithm, Mu et al. (in preparation) have further improved the MODIS ET algorithm for Nile River Basin Countries. Not only are the results improved dramatically but also the data cover every 1-km pixel of the land surfaces including inland waters (lakes, rivers, etc.), deserts, urban areas, unclassified land surfaces, etc. Using the improved MODIS ET algorithm, we can generate remotely sensed terrestrial ET and DSI products with higher quality. These products will enhance our capabilities for near-real-time drought monitoring to assist decision makers in regional drought assessment and mitigation efforts, and without many of the constraints of more traditional drought monitoring methods.

关键词： MODIS Vegetation Climatology Satellites Environmental sensing algorithm development Ecosystems Telescopes Carbon Remote sensing

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DESIGN AND IMPLEMENTATION OF A PROGRAMMING ENVIRONMENT FOR THE MAX VIDEO-20 2

DESIGN AND IMPLEMENTATION OF A PROGRAMMING ENVIRONMENT FOR T...

引用

CONF ON MACHINE VISION APPLICATIONS, ARCHITECTURES, AND SYSTEMS INTEGRATION 2

作者： BINNENDIJK, HC KORSTEN, MJ HUGEN, FM Univ. Twente (Netherlands)

This paper describes the development of a visual programming environment for the Max Video 20, called MAPE. It is a tool for the mapping of image processing algorithms on Max Video hardware.

ISBN: (纸本)0819413291

This paper describes the development of a visual programming environment for the Max Video 20, called MAPE. It is a tool for the mapping of image processing algorithms on Max Video hardware.

关键词： Video Image segmentation Image processing Computer programming Visualization Image compression Video processing algorithm development Image processing algorithms and systems Chemical elements

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ASSESSMENT OF THE INFORMATION-CONTENT OF PATTERNS - AN algorithm 14

ASSESSMENT OF THE INFORMATION-CONTENT OF PATTERNS - AN ALGOR...

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CONF ON APPLICATIONS OF DIGITAL IMAGE PROCESSING 14

作者： DAEMI, MF BEURLE, RL Univ. of Nottingham (United Kingdom)

ISBN: (纸本)0819406953

A preliminary investigation confirmed the possibility of assessing the translational and rotational information content of simple artificial images. The calculation is tedious, and for more realistic patterns it is essential to implement the method on a computer. This paper describes an algorithm developed for this purpose which confirms the results of the preliminary investigation. Use of the algorithm facilitates much more comprehensive analysis of the combined effect of continuous rotation and fine translation, and paves the way for analysis of more realistic patterns. Owing to the volume of calculation involved in these algorithms, extensive computing facilities were necessary. The major part of the work was carried out using an ICL 3900 series mainframe computer as well as other powerful workstations such as a RISC architecture MIPS machine.

关键词： Sensors algorithm development Digital image processing Distance measurement Scanning probe lithography Computer architecture Binary data Electronics engineering Image sensors Switching

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SIMULATION OF A NEURAL NETWORK FOR DECENTRALIZED DETECTION OF A SIGNAL IN NOISE

SIMULATION OF A NEURAL NETWORK FOR DECENTRALIZED DETECTION O...

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1990 MIDWEST CONF ON APPLICATIONS OF OPTICAL ENGINEERING : ( OE/MIDWEST 90 )

作者： AMIRMEHRABI, H VISWANATHAN, R Southern Illinois Univ./Carbondale (United States)

ISBN: (纸本)0819404772

The problem of distributed detection of a deterministic signal with unknown strength using a neural network approach is considered. Since the signal level Is not known there does not exist a uniformly powerful detection scheme for the problem. The neural network architecture used Is a two layer feedforward perceptron model with N Inputs M nodes In the hidden layer and two output nodes that correspond to the signal and noise hypotheses. The back propagation algorithm Is used to train the system with a known noise distribution. For fixed false alarm probabilities the performance of the trained network with regard to a set of test signals is estimated and compared to the performance of some known detection procedures such as Fisher''s method Tlppett''s method and the optimum test. Simulation results are presented for a network with two input nodes and three or four nodes In the hidden layer. When Laplace noise Is assumed the network performs better than the Tlppett method. For the detection of weak and moderate signals in Gaussian noise the network performs reasonably close to the optimum detection scheme. The decision regions for the neural network detection scheme is comparable to those of the Fisher''s and Tlppett''s methods. However unlike the Tippett''s method which has a fixed decision region regardless of the noise distribution the neural network''s decision region changes with the noise distribution. 1. SIGNAL DETECTION

关键词： Signal detection Neural networks Interference (communication) Sensors Optical engineering Statistical analysis algorithm development Platinum Receivers Signal processing

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FINESSE: a Fast Iterative Non-linear Exact Sub-space SEarch based algorithm for CT imaging

FINESSE: a Fast Iterative Non-linear Exact Sub-space SEarch ...

引用

Medical Imaging - Physics of Medical Imaging

作者： Schmitt, K. Schoendube, H. Stierstorfer, K. Horneggerl, J. Noo, F. Univ Erlangen Nurnberg D-91054 Erlangen Germany Siemens AG Healthcare Sector Forchheim Germany Univ Utah Salt Lake City UT USA

ISBN: (纸本)9780819498267

Statistical iterative image reconstruction has become the subject of strong, active research in X-ray computed tomography (CT). primarily because it may allow a significant reduction in dose imparted to the patient. However, developing an algorithm that converges fast while allowing parallelization so as to obtain a product that can be used routinely in the clinic is challenging. In this work, we present a novel algorithm that combines the strength of two popular methods. A preliminary investigation of this algorithm was performed, and strongly encouraging initial results are reported.

关键词： Reconstruction algorithms Computed tomography X-ray computed tomography Medical imaging Image processing algorithm development Data modeling Statistical modeling Image denoising Image restoration

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DYNAMIC SENSOR-BASED FAULT-DETECTION FOR ROBOTS

DYNAMIC SENSOR-BASED FAULT-DETECTION FOR ROBOTS

引用

1993 SPIE Technical Conference on Telemanipulator Technology and Space Telerobotics

作者： VISINSKY, ML CAVALLARO, JR WALKER, ID RICE UNIV DEPT ELECT & COMP ENGNHOUSTONTX 77251

ISBN: (纸本)0819413224

Fault detection and fault tolerance are increasingly important for robots in space or hazardous environments due to the dangerous and often inaccessible nature of these environs. We have previously developed algorithms to enable robots to autonomously cope with failures of critical sensors and motors. Typically, the detection thresholds used in such algorithms to mask out model and sensor errors are empirically determined and are based on a specific robot trajectory. We have noted, however, that the effect of model and sensor inaccuracy fluctuates dynamically as the robot moves and as failures occur. The thresholds, therefore, need to be more dynamic and respond to the changes in the robot system so as to maintain an optimal bound for sensing real failures in the system versus misalignment due to modeling errors. In this paper, we analyze the reachable measurement intervals method of computing dynamic thresholds and explore its applicability to robotic fault detection.

关键词： Robots Sensors algorithm development Robotics Computer programming Matrices Robotic systems Motion models Systems modeling Detection and tracking algorithms

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A data set for evaluating the performance of multi-class multi-object video tracking 27

A data set for evaluating the performance of multi-class mul...

引用

Conference on Automatic Target Recognition XXVII

作者： Chakraborty, Avishek Stamatescu, Victor Wong, Sebastien C. Wigley, Grant Kearney, David Univ South Australia Computat Learning Syst Lab Sch Informat Technol & Math Sci Mawson Lakes SA Australia Def Sci & Technol Grp Edinburgh SA Australia

ISBN: (纸本)9781510609051;9781510609068

One of the challenges in evaluating multi-object video detection, tracking and classification systems is having publically available data sets with which to compare different systems. However, the measures of performance for tracking and classification are different. Data sets that are suitable for evaluating tracking systems may not be appropriate for classification. Tracking video data sets typically only have ground truth track IDs, while classification video data sets only have ground truth class-label IDs. The former identifies the same object over multiple frames, while the latter identifies the type of object in individual frames. This paper describes an advancement of the ground truth meta-data for the DARPA Neovision2 Tower data set to allow both the evaluation of tracking and classification. The ground truth data sets presented in this paper contain unique object IDs across 5 different classes of object (Car, Bus, Truck, Person, Cyclist) for 24 videos of 871 image frames each. In addition to the object IDs and class labels, the ground truth data also contains the original bounding box coordinates together with new bounding boxes in instances where un-annotated objects were present. The unique IDs are maintained during occlusions between multiple objects or when objects re-enter the field of view. This will provide: a solid foundation for evaluating the performance of multi-object tracking of different types of objects, a straightforward comparison of tracking system performance using the standard Multi Object Tracking (MOT) framework, and classification performance using the Neovision2 metrics. These data have been hosted publically.

关键词： Video Object recognition Classification systems Detection and tracking algorithms Cameras Video surveillance algorithm development Automatic tracking Computing systems Solids

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Validation of ocean wind vector retrievals from WindSat polarimetric measurements

Validation of ocean wind vector retrievals from WindSat pola...

引用

Conference on Active and Passive Remote Sensing of the Oceans

作者： Jelenak, Z Mavor, JP Connor, L Wang, NY Chang, P Gaiser, P NOAA NESDIS Off Res & Applicat Camp Springs MD 20746 USA

ISBN: (纸本)0819456179

Using several months of WindSat measurements collocated with the NCEP Global Data Assimilation System model field, the Special Sensor Microwave Imager (SSM/I) measurements and QuikScat scatterometry measurements, we have derived an empirical geophysical model that describes radiometric vector for all WindSat channels, as a function of surface parameters: wind speed, wind direction and sea surface temperature, and atmospheric parameters: total precipitabte water and cloud liquid water. This model function was then used to develop an ocean surface wind vector retrieval algorithm from WindSat polarimetric measurements. The accuracy of the retrieved wind vectors was quantified using several months of WindSat measurements collocated with the Special Sensor Microwave Imager (SSM/I) measurements and QuikSCAT scatterometry measurements.

关键词： Data modeling algorithm development Clouds Liquids Polarimetry Evolutionary algorithms Microwave radiation Atmospheric modeling Digital filtering Temperature metrology

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A study of factors affecting multiple target tracking with a pixelized sensor - art. no. 59130L

A study of factors affecting multiple target tracking with a...

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17th Conference on Signal and Data Processing of Small Targets

作者： Morelande, MR Kreucher, CM Kastella, K Univ Melbourne Dept Elect & Elect Engn Parkville Vic 3010 Australia

ISBN: (纸本)0819459186

Factors affecting the performance of an algorithm for tracking multiple targets observed using a pixelized sensor are studied. A pixelized sensor divides the surveillance region into a grid of cells with targets generating returns on the grid according to some known probabilistic model. In previous work an efficient particle filtering algorithm was developed for multiple target tracking using such a sensor. This algorithm is the focus of the study. The performance of the algorithm is affected by several considerations. The pixelized sensor model can be used with either thresholded or non-thresholded measurements. While it is known that information is lost when measurements are thresholded, quantitative results have not been established. The development of a tractable algorithm requires that closely-spaced targets are processed jointly while targets which are far apart are processed separately. Selection of the clustering distance involves a trade-off between performance and computational expense. A final issue concerns the computation of the proposal density used in the particle filter. Variations in a certain parameter enable a trade-off between performance and computational expense. The various issues are studied using a mixture of theoretical results and Monte Carlo simulations.

关键词： Particles Detection and tracking algorithms Signal to noise ratio Sensors algorithm development Monte Carlo methods Surveillance Particle filters Target detection Solids

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Investigation of a model vertical motion liquid damper: Comparing numerical simulation and experimental evidence

Investigation of a model vertical motion liquid damper: Comp...

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Smart Structures and Materials 2005 Conference

作者： Papadopoulos, C Tabatabai, H Buechel, C Univ Wisconsin Dept Civil Engn & Mech Milwaukee WI 53201 USA

ISBN: (纸本)0819457418

Tuned Liquid Dampers (TLD) are used to limit horizontal vibrations in structures, and offer practical alternatives to Tuned Mass Dampers (TMD). However, to our knowledge, liquid damping systems have not been developed to reduce vertical vibrations. In this work, we develop a model for a Vertical Motion Liquid Damper (VMLD), idealized as a discrete, two degree of freedom system. One degree of freedom represents the 'target' structure that is to be damped, and the other represents the approximate, one-dimensional motion of a liquid in a U-shaped tube. Internal losses due to the fluid oscillation serve to limit and control motions of the target structure. The U-shaped tube has a flexible joint such that one vertical portion and the horizontal portion of the tube remain fixed, and the remaining vertical portion of the tube is affixed to the vibrating structure, allowing the liquid to become excited. The equations of motion are derived using Lagrange's Equations, and are integrated using Runge-Kutta algorithms that are available in Matlab. An experimental model was built in the laboratory, consisting of a mass attached to the end of a cantilevered beam (corresponding to the target structure), and a U-tube made from PVC pipe. The various damping and stiffness parameters of the system were calibrated independently based on experimental data. Measured data from the experimental model show reasonable agreement with numerical simulations.

关键词： Liquids Motion models Numerical simulations Head Motion measurement Systems modeling Data modeling Calibration Fluid dynamics algorithm development

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